Papers by Krerkchai Thongnoo
ECTI Transactions on Computer and Information Technology (ECTI-CIT)
As the automotive industry moves toward autonomous driving and ADAS (Advanced Driver Assistance S... more As the automotive industry moves toward autonomous driving and ADAS (Advanced Driver Assistance Systems), Model-Based Design (MBD) is a practical design methodology. It can be used to develop rapid prototyping by using MATLAB and Simulink. The MBD method still has limitations for handling complex models. This paper uses the Control Data Flow Graph (CDFG), an intermediate representation for analyzing complex algorithms, so that suitable optimizations for image processing applications can be implemented on an FPGA. The experimental results show that the proposed CDFG method improved both the area and speed of the edge detection case study compared with the MathWorks Vision HDL toolbox.
제어로봇시스템학회 국제학술대회 논문집, Aug 1, 2004
This paper proposes a more accurate task level energy measurement technique for high speed microp... more This paper proposes a more accurate task level energy measurement technique for high speed microprocessors. The technique is based on the relationship of the amount of current consumed by the microprocessor and the pulse width of the power supply controller chip, employed in the synchronous buck DC-DC converter in the microprocessor's power supply. The accuracy of the measurement is accomplished by measuring variation in pulse width in each power supply cycle. The major advantage of this technique is that its accuracy does not depend on the operating frequency of the microprocessor. To prove the proposed technique, we implemented the measurement unit of the microprocessor energy meter using an FPGA chip operating at 50 MHz. Both static and dynamic load measurement are tested in order to obtain some behaviours. Moreover, various commercially available mainboards which employ synchronous buck regulators at 200 KHz switching frequency, were measured. The results agree with previous works with better accuracy at higher operating frequency.
Engineering and Applied Science Research, Jun 6, 2012
This paper presents the study of wrist strap engagement detection using the 50 Hz artifact from o... more This paper presents the study of wrist strap engagement detection using the 50 Hz artifact from operators' skins as the indicator for wrist strap engagement. This artifact is caused by the power line nearby. The measured signals were selected according to operators' activities which include engagement, disengagement, and disconnecting. Different kinds of DSP algorithms were used to analyze the spectrogram of selected signals. It is found that STFT spectrogram yield excellent results.
Journal of Communication and Computer, Feb 1, 2012
In this paper, a design of an ADALINE adaptive filter based noise cancellation based on fine-grai... more In this paper, a design of an ADALINE adaptive filter based noise cancellation based on fine-grained pipelines is presented. The circuit is implemented from 32-bit floatingpoint arithmetic function units which are partitioned into proper fine-grained pipeline stages. Fine-grained pipeline resource-sharing is performed to minimize the circuit size. The ADALINE adaptive filter is implemented on an FPGA (Xilinx SPARTAN-3 XC3S400) to perform power line noise reduction. The performance is also evaluated. The proposed fine-grained pipelines implementation archived much higher throughput than the implementation on a commercial DSP chip, and two times higher than the normal pipeline implementation.
The aim of this study was to identify suitable artificial neural network (ANN) models for the EC-... more The aim of this study was to identify suitable artificial neural network (ANN) models for the EC-based and flow rate-based prediction of the nitrate nitrogen (NO 3-N) concentration in the U-Tapao canal, located in the southern part of Thailand. Two types of four layer ANNs of the feed-forward back propagation (FFBP) and cascade-forward back propagation (CFBP) types were evaluated for this prediction. The selected inputs of the ANNs were EC and flow rate, which were collected daily from December 2014 to March 2015. Overall, the study found that the four layer FFBP with 2 neurons in the input layer, 20 neurons in the first hidden layer, 30 neurons in the second hidden layer, and a single neuron in the output layer with a tan-sigmoid transfer function was the optimal model. The FFBP model produced slightly more accurate results than the CFBP model. Linear regression analysis was used to predict NO 3-N, which was compared with the results of the ANNs and the performance of the ANNs was better than that of the linear regression analysis. Therefore, the ANN approach proved to be suitable as an alternative to laboratory-based analysis for the prediction of NO 3-N values in the U-Tapao canal.
The purpose of this study was to identify a method to form rubber composites by incorporating nat... more The purpose of this study was to identify a method to form rubber composites by incorporating natural rubber (NR) and wood ash from rubber trees with a preliminary electrical properties test. This formulation is intended to improve the rubber composites in order to obtain new materials for high voltage insulators. First, the rubber formulation and processing conditions were optimised before the composites are processed in the laboratory. Second, the interactions between the NR and wood ash were investigated with the following tests: cure time, agglomerate dispersion, SEM images, and the electrical characteristic test. In the electrical characteristic test, the experimental setup was designed for testing the frequency range from 50 Hz to 100 kHz, which is the range of high voltage power line switching frequencies. This energised transient frequency can occur due to switching operations or any other external causes in high voltage systems. Finally, the dielectric property of the rubbe...
IEICE Proceeding Series
In this paper, a design of an ADALINE adaptive filter based noise cancellation based on fine-grai... more In this paper, a design of an ADALINE adaptive filter based noise cancellation based on fine-grained pipelines is presented. The circuit is implemented from 32-bit floatingpoint arithmetic function units which are partitioned into proper fine-grained pipeline stages. Fine-grained pipeline resource-sharing is performed to minimize the circuit size. The ADALINE adaptive filter is implemented on an FPGA (Xilinx SPARTAN-3 XC3S400) to perform power line noise reduction. The performance is also evaluated. The proposed fine-grained pipelines implementation archived much higher throughput than the implementation on a commercial DSP chip, and two times higher than the normal pipeline implementation.
2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2017
In recent years, wireless networks have become extremely necessary in modern communications. Espe... more In recent years, wireless networks have become extremely necessary in modern communications. Especially in mobile phones, we are using wireless networks to connect to networks around the world using both cellulars and WLANs. In order to connect to the Internet, mobile phones can connect to the Internet using these wireless network technologies, but, mobile phones cannot select a suitable wireless network. In this paper, we propose the network selection that considers both Wi-Fis and cellulars by using energy efficiency, delay, and UDP loss rate as key factors. To get these parameters, we used data from our measurement for four periods of time. After collecting the data, the algorithm applied for dynamic weight calculation based on Max-Min Fairness Algorithm and compared score results of each network path to select the best path. The simulation results demonstrate that the process of this proposed algorithm leads to convergence, therefore, this scheme can be used for network selection in mobile devices.
The four-phase handshake protocol allows asynchronous circuits to achieve average-case performanc... more The four-phase handshake protocol allows asynchronous circuits to achieve average-case performance, and bundled-data implementations allow the reuse of well-designed single-rail datapath modules. However, control-delay overhead of the four-phase handshake protocol and area overhead of the matched delay elements in bundled-data implementations limit the potential of such implementations. In this paper, we introduce a new bundled-data implementation, called local clock controllers, to minimize these limitations at gate-level design. A fair overhead comparison with four-phase protocol based controllers was performed to demonstrate the potential of the local clock controllers. The experimental results show that the local clock controllers are about 40% better in circuit area and about 20% better in circuit speed than the fourphase protocol based controllers.
The purpose of this study was to identify a method to form rubber composites by incorporating nat... more The purpose of this study was to identify a method to form rubber composites by incorporating natural rubber (NR) and wood ash from rubber trees with a preliminary electrical properties test. This formulation is intended to improve the rubber composites in order to obtain new materials for high voltage insulators. First, the rubber formulation and processing conditions were optimised before the composites are processed in the laboratory. Second, the interactions between the NR and wood ash were investigated with the following tests: cure time, agglomerate dispersion, SEM images, and the electrical characteristic test. In the electrical characteristic test, the experimental setup was designed for testing the frequency range from 50 Hz to 100 kHz, which is the range of high voltage power line switching frequencies. This energised transient frequency can occur due to switching operations or any other external causes in high voltage systems. Finally, the dielectric property of the rubbe...
This paper presents an FFT computation minimisation for Motor Current Signature Analysis (MCSA) b... more This paper presents an FFT computation minimisation for Motor Current Signature Analysis (MCSA) by reducing sampling frequencies and input data samples. The frequency resolution of an FFT signal depends on the FFT length and the sampling frequency. A diagnosis of the induction motor stator winding short turn using the FFTbased MCSA has shown the performance of various FFT lengths. Preserving frequency resolution is achieved by keeping the same ratio of the sampling frequency to the FFT length. From the experimental results, the FFT length can be decreased from 64K to 8K, 1K, and 512 points respectively. All FFT processors were implemented with Xilinx Spartan-6 FPGA to compare the resource, the speed, and the power consumption. The FPGA implementation of the 512-point FFT achieved BRAM saving of 97 %, slice saving of 26%, power consumption saving of 20% and speed up to187 times compared with the 64K-point FFT. Although the processing gain of the 512-point FFT is 24 dB and decreased f...
2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2019
This paper presents a patient monitoring system that can support multiple IoT (Internet of Things... more This paper presents a patient monitoring system that can support multiple IoT (Internet of Things) rehabilitation devices. The physicians can plan the treatment for each patient via network and internet connection system according to three sub processes: devices configuration, monitoring, and feedback. The proposed system has been designed to support multiple devices and various types of rehabilitation devices by using the common HTTP message format. This allows various IoT platforms to be programed to control various rehabilitation devices and connect the internet via WLAN, LAN, or cellular network. The network and internet connection test reported that the system can support many users’ devices sending the measurement data concurrently and correctly. The system reliability test reported the very high success rate of sending data of all to the data server and database server. Consequently, this system can work well in the real world application.
Kku Engineering Journal, Jun 6, 2012
This paper presents the wrist strap engagement sensing by using a photo detecting techniquewhich ... more This paper presents the wrist strap engagement sensing by using a photo detecting techniquewhich consists of two different wavelength LEDs as a transmitter and a photodiode as a receiver. Thetransmitter transmits red and blue light sources to the operator’s skin and the receiver receives areflected light from layers of the skin. The resulting signals from the receiver can be used todetermine the wrist strap engagement.
Kku Engineering Journal, Jun 6, 2012
This paper presents the study of wrist strap engagement detection using the 50 Hz artifact from o... more This paper presents the study of wrist strap engagement detection using the 50 Hz artifact from operators' skins as the indicator for wrist strap engagement. This artifact is caused by the power line nearby. The measured signals were selected according to operators' activities which include engagement, disengagement, and disconnecting. Different kinds of DSP algorithms were used to analyze the spectrogram of selected signals. It is found that STFT spectrogram yield excellent results.
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Papers by Krerkchai Thongnoo